invertedpendulum-lqr-pole

1D, 2D and 3D FDTD methods for Matlab from Sullivan s book

This code implements newton method with equality constraints

spwm波形生成模块，载波可调，电机控制常用(spwm waveform generation module, the carrier is adjustable, motor control used)

实现MATLAB对茶壶采集的的点云数据网格生成，并细化(MATLAB to achieve the collection of the teapot point cloud data grid generation, and refinement)

本matlab程序主要是处理稀疏信号重构问题的，基于L1迭代阈值算法进行恢复的。（软阈值算法）(The matlab program mainly sparse signal reconstruction problems, L1 iterative thresholding algorithm based recovery. (Soft thresholding algorithm))

secant method by davo

详细的介绍了FDTD进行数学建模分析的相关数学理论知识。(A detailed description of the FDTD related mathematical theory knowledge of mathematical modeling analysis.)

Compressive sensing (CS) has been proposed for signals with sparsity in a linear transform domain. We explore a signal dependent unknown linear transform, namely the impulse response matrix operating on a sparse excitation, as in the linear model of speech production, for recovering compressive sensed speech. Since the linear transform is signal dependent and unknown, unlike the standard CS formulation, a codebook of transfer functions is proposed in a matching pursuit (MP) framework for CS recovery. It is found that MP is efficient and effective to recover CS encoded speech as well as jointly estimate the linear model. Moderate number of CS measurements and low order sparsity estimate will result in MP converge to the same linear transform as direct VQ of the LP vector derived the original signal. There is also high positive correlation between signal domain approximation and CS measurement domain approximation for a large variety of speech spectra.

block diagram of wcdma system communication

利用MATLAB GUI设计实现图像处理的图形用户界面，利用MATLAB图像处理工具箱实现以下的图像处理功能： 1. 采用matlab Guide设计实现图像界面与按钮界面。 2. 连接摄像头，编写MATLAB初始化程序 3. 用摄像头采集一副图像，并能实现保存（使用控件按钮保存）。 4. 设计按钮实现对图像进行任意的亮度和对比度变化调整，显示和对比度变化前后的图像。 5. 设计按钮实现用户能够用鼠标选取图像感兴趣区域，显示和保存该选择区域。 (Designed and implemented using MATLAB GUI graphical user interface, image processing, using MATLAB image processing toolbox of image processing functions to achieve the following: 1. Designed to achieve an image using matlab Guide button interface with the interface. 2 Connect the camera to write MATLAB initialization procedure 3, with the camera capture an image and save to achieve (using the control button to save). 4 Design button on the image to achieve any change in the brightness and contrast adjustment, display, and contrast changes before and after images. 5 button design to achieve the user to select an image region of interest with the mouse, display and save the selected area.)